@inproceedings { M2EC2022,
	title = {Load Distribution for Mobile Edge Computing with Reliable Server Pooling},
	journal = {Proceedings of the 4th International Workshop on Recent Advances for Multi-Clouds and Mobile Edge Computing~(M2EC) in conjunction with the 36th International Conference on Advanced Information Networking and Applications~(AINA)},
	year = {2022},
	publisher = { Springer},
	address = {Sydney, New South Wales/Australia},
	abstract = {Energy-efficient computing model is a popular choice for high performance as well as throughput oriented computing ecosystems. Mobile (computing) devices are becoming increasingly ubiquitous to our computing domain, but with limited resources (true both for computation as well as for energy). Hence, workload offloading from resource-constrained mobile devices to the Edge and maybe (later) to the cloud become necessary as well as useful. Thanks to the persistent technical breakthroughs in global wireless standards (or in mobile networks) together with the almost limitless amount of resources in public cloud platforms, workload offloading is possible and cheaper. In such scenarios, Mobile Edge Computing (MEC) resources could be provisioned in proximity to the users for supporting latency-sensitive applications. Here, two relevant problems could be: i) How to distribute workload to the resource pools of MEC as well as public (multi-)clouds? ii) How to manage such resource pools effectively? To answer these problems in this paper, we examine the performance of our proposed approach using the Reliable Server Pooling (RSerPool) framework in more detail. We also have outlined the resource pool management policies to effectively use RSerPool for workload offloading from mobile devices into the cloud/MEC ecosystem.},
	keywords = {Cloud computing, Load Distribution, Mobile Edge Computing (MEC), Multi-Cloud Computing, Reliable Server Pooling (RSerPool), Serverless Computing},
	author = {Dreibholz, Thomas and Mazumdar, Somnath}
}
